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Added solar costs unit tests
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@ -1,6 +1,7 @@
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from recommendations.Costs import Costs
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from unittest.mock import Mock
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import datetime
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import pytest
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class TestCosts:
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@ -499,3 +500,48 @@ class TestCosts:
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'labour_hours': 24.79, 'labour_days': 1.549375, 'labour_cost': 186.9032}
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assert costs.labour_adjustment_factor == 0.88
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# Mock property instance for regional tests
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@pytest.fixture(params=[
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("Northamptonshire", "East Midlands", 7927.44),
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("Greater London Authority", "Inner London", 10475.0),
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("Adur", "South East England", 8333.32),
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("Bournemouth", "South West England", 8452),
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("Basildon", "East of England", 7895.44),
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("Birmingham", "West Midlands", 7706.2),
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("County Durham", "North East England", 8113.96),
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("Allerdale", "North West England", 6481.68),
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("York", "Yorkshire and the Humber", 8243.6),
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("Cardiff", "Wales", 7595.32),
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("Glasgow City", "Scotland", 7871.88),
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("Belfast", "Northern Ireland", 8504.36)
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])
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def mock_property_with_region(self, request):
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county, region, expected_cost = request.param
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mock_property = Mock()
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mock_property.data = {"county": county}
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return mock_property, region, expected_cost
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# Test for different wattages
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@pytest.mark.parametrize("wattage, expected_cost", [
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(3000, 5945.58),
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(4000, 7927.44),
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(5000, 9909.3),
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(6000, 11891.16),
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])
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def test_solar_pv_different_wattages(self, wattage, expected_cost):
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mock_property = Mock()
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mock_property.data = {"county": "Mansfield"}
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costs = Costs(mock_property)
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result = costs.solar_pv(wattage)
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assert result['total'] == pytest.approx(expected_cost, rel=0.01)
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def test_solar_pv_regional_variation(self, mock_property_with_region):
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# Test for regional cost variations
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property_instance, expected_region, expected_cost = mock_property_with_region
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costs = Costs(property_instance)
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assert costs.region == expected_region
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result = costs.solar_pv(4000) # Testing with a fixed wattage of 4000
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assert result['total'] == pytest.approx(expected_cost, rel=0.01)
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